If My AI Wrote this Post, Could I Own the Copyright?
Todd Carpenter reports on a forum hosted by WIPO and the Copyright Office that focused on whether copyright can apply to the works created by artificial intelligence systems.
We Need AI Standards for Scholarly Publishing: A NISO Workshop Report
In the past two years, there has been an explosion of interest in the possibilities of artificial intelligence tools, such as deep learning methods in scientific research, and — particularly in STM publishing — large language models for automated text generation. […]
Reading Between the Lines, Part 1: A Cognitive Framework for AI in Scholarly Publishing
[…] evaluates thought, rather than to psychometric ability or general reasoning as measured by IQ. Within this framework, AI functions as artificial thought. Thought, whether human or artificial, is the acting faculty of cognition. It retrieves, compares, combines, analyzes, and generates […]
Reading Between the Lines, Part 2: Cognitive Debt and the Adaptive Publisher
[…] misallocation. It arises when mechanical cognition replaces the forms of cognition that give it meaning, rather than supporting them. As artificial thought becomes increasingly capable and abundant, the distinguishing value of scholarship will lie less in producing more information than […]
SSP Conference Debate: AI and the Integrity of Scholarly Publishing
Will artificial intelligence fatally undermine the integrity of scholarly publishing? A formal debate from the annual meeting of the Society for Scholarly Publishing.
Guest Post — Accessibility Powered by AI: How Artificial Intelligence Can Help Universalize Access to Digital Content
Digital transformation can revolutionize the world, turning it into an inclusive place for people with and without disabilities, with accessibility powered by artificial intelligence.
We Can Now Track AI-generated Content. It Doesn’t Solve the Real Problem.
[…] AI systems… shall ensure that the outputs of the AI system are marked in a machine-readable format and detectable as artificially generated or manipulated.” Because of this law, Anthropic released a new AI watermarking system for AI generated content from […]
Making AI Use of Scholarly Content Traceable, Measurable, and Trustworthy: A Meeting Report from Cambridge Scholarly AI Workshop
[…] at Cambridge University Press. This is the second in a series of posts on AI systems, provenance tracking in generative artificial intelligence systems, and the implications on usage and assessment. The first post was published last week. The next piece in […]
Ask The Chefs: The US Executive Order on Artificial Intelligence
We asked the Chefs for their thoughts on the Biden Administration’s Executive Order on “Safe, Secure, and Trustworthy Artificial Intelligence.”
Guest Post — Enabling Trustable, Transparent, and Efficient Submission and Review in an Era of Digital Transformation
[…] Head of AI R&D for Atypon, part of Wiley Partner Solutions, where he is responsible for overseeing the implementation of artificial intelligence–driven information discovery technologies. Sylvia is Manager, Product Marketing, Community & Content, at Wiley Partner Solutions. In our last post, […]
We Could Use a Model Licensing Framework for Scholarly Content Use in AI Tools
As artificial intelligence (AI) systems become increasingly integrated into scholarly research and knowledge dissemination, publishers face a critical challenge: how to best integrate their content into this new ecosystem. Currently, an increasing number of publishers are collaborating with AI system suppliers […]
The Top Ten Challenges, Needs, and Goals of Publishers – and How AI Can Help in Digital Transformation and the Open Science Movement
As artificial intelligence begins to play an ever-bigger role in the scholarly publishing landscape, how might it help solve some of the biggest challenges facing publishers?
The Impact of AI on Information Discovery: From Information Gathering to Knowledge Application
In this post – the first of two discussing artificial intelligence and information discovery – we explore the evolution of information discovery, its role in the research journey, and how it can be applied to help researchers and publishers alike.
What to Do with the AI Elephant in the Room: A NISO Plus Conference Report
The story about blind people describing an elephant is apt right now considering artificial intelligence systems, particularly in scholarly communications. Many people have ideas, but few, if any, can grasp the entirety of the issue. Similarly, it is also an elephant […]
Let’s Be Cautious As We Cede Reading to Machines
[…] curation process. Of course, we have been using machine-intermediation for search and discovery for years. For all the excitement of artificial intelligence technology, the approach du jour, seems to be “Let’s have the AI do it for us.” On cue, practically […]